Localization of buildings in airborne forward-looking infrared image using template matching method

Yueming Qin; Zhiguo Cao; Hansong Li; Xiaojing Wang

doi:10.1117/12.2008937

14 March 2013 Localization of buildings in airborne forward-looking infrared image using template matching method

Yueming Qin, Zhiguo Cao, Hansong Li, Xiaojing Wang

Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 876874 (2013) https://doi.org/10.1117/12.2008937
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore

Abstract

This paper proposes a new approach to localize buildings from forward looking infrared (FLIR) images. The proposed approach can localize not only large buildings, but also small buildings. Furthermore, the proposed approach is also robust with those FLIR images degraded by clouds. This breakthrough is due to the following improvements: (1) the Histogram of Oriented Gradients approach is improved to match FLIR images with our templates; (2) a new kind of feature image is presented to reduce the difference between template and target; (3) we project 3D building models into images, with different colors on different sides, distinguishing those sides apart; (4) we generate templates which contain all buildings in the visual field. As a result, the FLIR images can be matched with the big templates at a high correct rate, and then target buildings can be localized. The experimental results show the superior performance of the proposed approach.

Citation Download Citation

Yueming Qin, Zhiguo Cao, Hansong Li, and Xiaojing Wang "Localization of buildings in airborne forward-looking infrared image using template matching method", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876874 (14 March 2013); https://doi.org/10.1117/12.2008937

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